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@article{190520,
        author = {ABDUL FARAS and ATHUL KRISHNA M and MOHAMED ASLAM BABU and Ms.SHEEJA G and Mr RAJESH SK},
        title = {AI ENABLED WEED CUTTING SYSTEM FOR SMART FARMING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {4476-4479},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190520},
        abstract = {This paper presents the design and development of an intelligent embedded system aimed at improving automation, efficiency, and accuracy in modern applications. The proposed system combines hardware and software components to achieve real-time monitoring, decision making, and control. The project focuses on low cost implementation while maintaining high reliability and performance. Experimental testing and analysis confirm that the system successfully meets the intended objectives, making it suitable for practical use.},
        keywords = {Embedded System, Automation, Arduino, Sensor, Image Processing, Machine Learning, Smart Control},
        month = {January},
        }